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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Download market data from Yahoo! Finance's API
TuShare is a utility for crawling historical data of China stocks
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
Transparent and Efficient Financial Analysis
Extract data from a wide range of Internet sources into a pandas DataFrame.
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A javascript technical indicators written in typescript with pattern recognition right in the browser
Unofficial Documentation of Robinhood Trade's Private API
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
Real time stock and option data.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
The official Python client library for the Polygon REST and WebSocket API.
简单易用的量化金融数据包(easy utility for getting financial market data of China)
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
A powerful financial data module used for pulling data from Yahoo Finance. This module can pull fundamental and technical data for stocks, indexes, currencies, cryptos, ETFs, Mutual Funds, U.S. Treasuries, and commodity futures.
Python wrapper for an unofficial Yahoo Finance API
📊 Financial markets data library implemented in go.